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oma-recap

Summarize AI conversation histories for a specified date or period.

Install / Use

npx skills add first-fluke/oh-my-agent --skill oma-recap

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

89/100

Supported Platforms

Universal

Tags

Our assessment of oma-recap

oma-recap scores 89/100 on our quality scale, 381st of 1,031 Content & Media skills we index (top 37%).

Its SKILL.md is 9.9 KB long, well organised into 42 sections with 4 code examples: a thorough specification that gives an agent plenty to work with.

With 1,324 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
12/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 7 days ago, so oma-recap is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

oma-recap compared with similar skills

All 4 of these similar skills score higher than oma-recap; compare them before choosing.

SkillScoreStarsUpdatedFormat
oma-recap (this skill)by first-fluke891.3k7d agoSKILL.md
siyuanby siyuan-note10046.6ktodayMCP Server
algorithmic-artby anthropics100177.9k8d agoSKILL.md
pptxby anthropics100177.9k8d agoSKILL.md
designby nextlevelbuilder100130.2k9d agoSKILL.md

Frequently asked questions

How do I install oma-recap?
Run npx skills add first-fluke/oh-my-agent --skill oma-recap. The install tabs above show the steps for each supported agent.
Which AI agents does oma-recap work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is oma-recap safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is oma-recap still maintained?
The repository was last updated 7 days ago, so oma-recap is actively maintained.

name: oma-recap description: Summarize AI conversation histories for a specified date or period. Use for daily work recaps and cross-tool activity summaries.

AI Tool Conversation History Summary

Analyze AI tool conversation histories for a given period and generate themed work summaries.

Scheduling

Goal

Collect AI tool conversation history for a date or window and synthesize it into a themed, project-oriented recap with saved Markdown output.

Intent signature

  • User asks for daily recap, weekly/monthly summary, standup notes, work log, tool usage pattern, or AI conversation history analysis.
  • User wants conversation histories grouped by work content rather than raw chronological logs.

When to use

  • Summarizing a day or period of work activity
  • Understanding the overall flow of work across multiple AI tools
  • Analyzing tool-switching patterns between sessions
  • Preparing daily standups, weekly retros, or work logs

When NOT to use

  • Git commit-based code change retrospective -> use oma retro
  • Real-time agent monitoring -> use oma dashboard terminal
  • Productivity metrics -> use oma stats get

Expected inputs

  • Date, relative date, time window, or tool filter
  • Conversation history available through oma recap --json or fallback sources
  • Desired daily or multi-day recap scope

Expected outputs

  • Markdown recap saved to .agents/results/recap/{date}.md or range filename
  • TL;DR, overview, themes/projects, miscellaneous or side projects, and tool usage patterns
  • User-facing summary in configured response language

Dependencies

  • oma recap --json
  • Optional Claude fallback history at ~/.claude/history.jsonl
  • .agents/oma-config.yaml for language behavior

Control-flow features

  • Branches by date resolution, window length, available tool history, and daily vs multi-day output shape
  • Reads local history data and writes Markdown recap files
  • Groups by content, not by tool

Structural Flow

Entry

  1. Resolve requested date or window.
  2. Collect normalized conversation history.
  3. Decide daily versus multi-day output structure.

Scenes

  1. PREPARE: Resolve time range and tool filters.
  2. ACQUIRE: Collect history through CLI or fallback; retain completion evidence where available.
  3. REASON: Group by content and classify each item as requested, in progress, or completed from its evidence.
  4. ACT: Write recap Markdown in the required format.
  5. VERIFY: Check that every completion claim has direct evidence, then check grouping, language, and output path.
  6. FINALIZE: Save and display summary.

Transitions

  • If no date is specified, use today via --date (bare --window is a rolling window ending now, not calendar-aligned).
  • If window is 3 days or longer, group by project instead of day chronology.
  • If CLI is unavailable, use Claude fallback only and report scope limits.
  • If tasks are under threshold, group them into Miscellaneous or Side Projects.

Failure and recovery

  • If history is unavailable, report missing source and requested range.
  • If timestamps are ambiguous, use configured timezone and state assumption.
  • If extracted data is sparse, produce a concise recap and note limited coverage.

Exit

  • Success: recap file exists and summary is displayed.
  • Partial success: missing tools/history or fallback-only coverage is explicit.

Logical Operations

Actions

| Action | SSL primitive | Evidence | |--------|---------------|----------| | Resolve date/window | INFER | Natural-language date rules | | Collect history | CALL_TOOL | oma recap --json or jq fallback | | Read extracted records | READ | Conversation history | | Group and classify themes/projects | INFER | Time/content rules plus prompt, progress, completion, receipt, or artifact evidence | | Validate output shape | VALIDATE | Daily or multi-day template | | Write recap | WRITE | .agents/results/recap/ | | Report summary | NOTIFY | Displayed recap |

Tools and instruments

  • oma recap --json
  • jq fallback for Claude history
  • Markdown output templates

Canonical command path

oma recap --date YYYY-MM-DD --json
oma recap --window 7d --json
oma recap --json  # rolling last 24h, not "today"

Resource scope

| Scope | Resource target | |-------|-----------------| | LOCAL_FS | Conversation history and recap output files | | PROCESS | oma recap, jq, date commands | | USER_DATA | Conversation prompts and project activity | | MEMORY | Theme grouping and summary notes |

Preconditions

  • Requested time range can be resolved.
  • At least one history source is available.

Effects and side effects

  • Writes recap Markdown under .agents/results/recap/.
  • Reads local conversation history data.

Guardrails

  1. Evidence status: A prompt alone proves a request, not a result. Mark work completed only with an explicit completion/result message, a receipt, or an artifact that supports the stated outcome. Mark it in progress with progress evidence; otherwise call it requested. Do not infer completion from a tool invocation or elapsed time.
  2. TL;DR required: Top 3 supported outcomes. Use "completed" only when the evidence-status rule permits it; otherwise summarize requested or in-progress work plainly. Project name + status/outcome. No tool names or unnecessary detail.
  3. Overview: After TL;DR, describe the flow. Start with "I" as subject and preserve evidence status.
  4. Daily: themes by time block (15+ min). Rest goes to "Miscellaneous".
  5. Multi-day (3d+): sections by project, ordered by activity. Read like a sprint report, not a daily log.
  6. 2-4 bullets per theme/project: Concise essentials only. Don't enumerate every step.
  7. Themes by content: Group by actual work, not by tool.
  8. Time range (daily only): (AM/PM/Evening HH:MM~HH:MM). AM: ~12:00, PM: 12:00~18:00, Evening: 18:00~.
  9. Save results: Write markdown to .agents/results/recap/.
  10. Response language: Follows language setting in .agents/oma-config.yaml if configured.
  11. No em dashes: Use commas, periods, or parentheses instead of — (em dash).

Process

1. Resolve Date

Determine the target date or window from the user's natural language input. Default is today.

Resolution rules:

  • Relative day references (today, yesterday, day before yesterday, etc.) → calculate --date YYYY-MM-DD
  • Specific date mentions (month + day, or full date) → convert to --date YYYY-MM-DD
  • Relative weekday references (last Monday, this Friday, etc.) → calculate the date
  • Period references (this week, last 3 days, past 2 weeks, etc.) → convert to --window Nd
  • No date specified → today, resolved to --date YYYY-MM-DD (bare --window 1d is a rolling 24-hour window ending now, not the calendar day)
  • The CLI caps windows at 30 days (longer values are trimmed with a warning) — when a requested period gets capped, say so in the recap

2. Collect Data

Extract normalized conversation history via CLI.

# Today (calendar day, all tools)
oma recap --date $(date +%F) --json

# Last 24 hours (rolling window ending now)
oma recap --json

# Time window (rolling, ends now; capped at 30d)
oma recap --window 7d --json

# Specific date
oma recap --date 2026-04-10 --json

# Tool filter (supported: grok, claude, codex, gemini, qwen, cursor, antigravity)
oma recap --tool claude,codex --json

Fallback when CLI is not installed: process Claude history only via inline jq:

# Uses the system timezone; export TZ=<zone> first to override, and state the
# timezone assumption in the recap (per the Failure and recovery rules).
TARGET_DATE=$(date +%Y-%m-%d)
# macOS/BSD date:
start_ts=$(date -j -f "%Y-%m-%d %H:%M:%S" "${TARGET_DATE} 00:00:00" +%s)000
# Linux/GNU date alternative:
# start_ts=$(date -d "${TARGET_DATE} 00:00:00" +%s)000
end_ts=$((start_ts + 86400000))

jq -r --argjson start "$start_ts" --argjson end "$end_ts" '
  select(.timestamp >= $start and .timestamp < $end and .display != null and .display != "") |
  {
    time: (.timestamp / 1000 | localtime | strftime("%H:%M")),
    project: (.project | split("/") | .[-1]),
    prompt: (.display | gsub("\n"; " ") | if length > 150 then .[0:150] + "..." else . end)
  }
' ~/.claude/history.jsonl

3. Theme Analysis and Grouping

Read all extracted data and analyze with the following criteria:

Grouping rules:

  • Only classify as a separate theme if the work spans 15+ minutes (based on timestamp gaps and prompt count)
  • Merge consecutive prompts on the same topic into one theme
  • Collect sub-15-minute tasks into a "Miscellaneous" section
  • Group by work content, not by tool

Cross-tool analysis:

  • Track workflow when multiple tools are used in the same time window
  • Example: "Designed in Antigravity -> Implemented in Claude -> Reviewed in Codex"
  • Derive insights from tool-switching patterns

Extract from each theme:

  • Core work performed
  • Key decisions made
  • Tool combinations used
  • Artifacts produced (docs, code, config, etc.)

4. Output Format

Save results to .agents/results/recap/{date}.md and display simultaneously.

Use the markdown templates in resources/output-formats.md:

  • Daily format (1d or specific date): TL;DR → Overview → time-blocked themes → Miscellaneous → Tool Usage Patterns.
  • Multi-day format (3d+): project-driven sprint-report structure with Side Projects for small (<30 prompts) work; follow the multi-day grouping rules in the same file.

Response language follows language setting in .agents/oma-config.yaml.

5. Save Results

Save to .agents/results/recap/{date}.md. For window ranges, use {start-date}~{end-date}.md format.

# Example paths
.agents/results/recap/2026-04-12.md
.agents/results/recap/2026-04-06~2026-04-12.md

References

  • Output format templates: resources/output-formats.md
  • Recap CLI: oma recap --json
  • Output directory: .agents/results/recap/
  • Language config: .agents/oma-config.yaml
  • Claude fallback history: ~/.claude/history.jsonl

Related Skills

View on GitHub
GitHub Stars1.3k
CategoryContent
Updated7d ago
Forks151

Languages

TypeScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions